Analyzing meteorological factors for forecasting PM10 and PM2.5 levels: a comparison between MLR and MLP models DOI
Nastaran Talepour, Yaser Tahmasebi Birgani, Frank J. Kelly

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Language: Английский

A Spatio-temporal Study of Changes in Air Quality from Pre-COVID Era to Post-COVID Era in Chicago, USA DOI Creative Commons
Solaiman Khan, Butros M. Dahu, Grant J. Scott

et al.

Aerosol and Air Quality Research, Journal Year: 2022, Volume and Issue: 22(8), P. 220053 - 220053

Published: Jan. 1, 2022

The COVID-19 pandemic has drastically changed human life and the world's environment. Most of major cities USA went under full or partial lockdown in first half 2020. However, it started gradually reopening, 2021, most public activity restrictions were lifted. Many studies reported a significant improvement air quality during USA, corresponding with reduced activity. We hypothesized that this improved was followed by decline to again due normalization 2021. This study is novel approach studying using spatio-temporal analysis at finer spatial level within city USA. It assessed change six parameters from pre-COVID era post-COVID Chicago Illinois, found activities COVID-19, reducing concentration some pollutants, especially PM2.5, NO2, CO. transitory, reverted era. Therefore, policies should be formulated practiced improve long term.

Language: Английский

Citations

14
Evaluation of machine learning and deep learning models for daily air quality index prediction in Delhi city, India DOI

Chaitanya Baliram Pande,

R. Latha,

Megha Satyanarayana

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 19, 2024

Language: Английский

Citations

2
ACBiGRU-DAO: Attention Convolutional Bidirectional Gated Recurrent Unit-based Dynamic Arithmetic Optimization for Air Quality Prediction DOI

Vinoth Panneerselvam,

T. Revathi

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(37), P. 86804 - 86820

Published: July 6, 2023

Language: Английский

Citations

6
City-scale model to assess rooftops performance on air pollution mitigation; validation for Tehran DOI Creative Commons
S. Hamed Banirazi Motlagh, Oriol Pons, S. M. Amin Hosseini

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 244, P. 110746 - 110746

Published: Aug. 22, 2023

Cities have a significant role in the current climate change and air pollution crisis; hence, it is urgent to mitigate negative effects of urban settlements. This situation requires developing agile plans simultaneously investigate efficiency green infrastructures feedback from their targets. A crucial consideration for these potential rooftops – broadly abundant underused areas harbour sustainable, effective, viable alternatives. study aims develop new model optimize utilization feasible pollutant reducers, ability present reduce recommend most suitable city-scale solutions. The proposed combines mathematical patterns, GIS, sensitivity analysis. systematic adaptable approach was first applied heavily air-polluted Tehran city, which has vastly unused rooftops. leading application identified: i) two appropriate reducing alternatives photovoltaic roofs –; ii) optimized total performance alternative when simultaneous mitigation PM CO2 required compound iii) three indicators target building groups land use, height, surface scale iv) group residential medium height buildings. Applying with 3:1 ratio (photovoltaic: roof) all buildings enables 9% decrease city level emissions.

Language: Английский

Citations

4
Analyzing meteorological factors for forecasting PM10 and PM2.5 levels: a comparison between MLR and MLP models DOI
Nastaran Talepour, Yaser Tahmasebi Birgani, Frank J. Kelly

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Language: Английский

Citations

1